Differential private multi-source wireless signal fingerprint fusion indoor positioning method under edge computing architecture

The invention discloses a differential private multi-source wireless signal fingerprint fusion indoor positioning method under an edge computing architecture. The method comprises the steps that (1),edge equipment adds Laplace noise to own information strength RSS data and then randomly sends the RSS data to nearby edge nodes; (2), after receiving the RSS data, the edge node aggregates the RSS data of WiFi and Bluetooth collected at the same position, uniformly calibrates the aggregated RSS data and sends the calibrated RSS data to an edge server; (3), the edge server integrates received noise marks and unmarked samples, performs feature fusion of differential privacy protection on RSS data of WiFi and BLE by utilizing graph Laplace manifold constraints, and sends all data sets subjectedto privacy protection processing to a cloud server; and (4), learning parameters are learned by the cloud server, machine learning model training satisfying differential privatives is carried out, and a safe and credible indoo